Article

The application of fluorescence spectroscopy and machine learning as non-destructive approach to distinguish two different varieties of greenhouse tomatoes

2024-12-01

Abstract excerpt

The application of interdisciplinary non-invasive diagnostic methods combining fluorescence spectroscopy with multiple machine learning algorithms as tools for rapid application in tomato breeding programs is essential when crossing specific genotypes or parental samples to obtain representatives with better performance. Non-destructive distinguishing tomato species is of great importance for the preservation of p...

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Literature Corpus work: e18715f7-59f9-55dc-ba70-68df800b51a7
DOI: 10.1007/s00217-023-04363-1

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